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• A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
  2020 · 12 citations
• Designing Interpretable Approximations to Deep Reinforcement Learning
  2020 · 1 citations
• CORE: Constraint-Aware One-Step Reinforcement Learning for Simulation-Guided Neural Network Accelerator Design
  2025
• Model-Free Reinforcement Learning for Optimal Control of MarkovDecision Processes Under Signal Temporal Logic Specifications
  2021
• Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation
  2023
• Optimal Control of Logically Constrained Partially Observable and Multi-Agent Markov Decision Processes
  2023
• Posterior Sampling-based Online Learning for Episodic POMDPs
  2023